Abstract: To enhance the accuracy and real-time response of network security-aware systems, the convolutional neural network is optimized by introducing exponentially weighted dempster-shafer evidence ...
The bigger the orchard, the more the bad apples. Close to five billion people were estimated to have traveled by air in 2025 — a record-breaking number — and plenty more tourists were also gadding ...
Abstract: In the petroleum industry, light-quantum flowmeters can perform multiphase measurement of gas, liquid, and solid phases, which has attracted significant attention. However, their measurement ...
Generative AI is infiltrating everything you do online, including how you find information. If you're bored with traditional search, check out the top AI search engines we've tried. I’ve been writing ...
Abstract: Image steganography conceals secret data within a cover image to generate a new image (stego image) in a manner that makes the secret data undetectable. The main problem in image ...
EDITOR’S NOTE: This story involves discussion about suicide that some readers may find upsetting. If you feel you are in crisis, call or text 988 to reach the 24-hour Suicide Crisis Lifeline. Zane ...
Abstract: In the current oil extraction process, frequent failures of beam pumping units seriously affect the economic benefits of the oilfield. This paper proposes a Convolutional Neural Network ...
Abstract: This study proposes a feature-enhanced Faster R-CNN algorithm to address the challenges of dense targets, varying object shapes, and complex backgrounds in remote sensing image detection.
Abstract: Robot position is a crucial information flow for space teleoperation, and the existence of time delay makes it actual asynchronous in sending and reception, greatly affecting the ...
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